Noise Reduction and Enhancement Processing Method of Cement Concrete Pavement Image based on Frequency Domain Filtering and Small World Network

This paper improves the local adaptive contrast enhancement algorithm based on frequency domain filtering and small-world grids, and solves the problem of low crack recognition accuracy caused by uneven image brightness and low contrast. This paper improves the classic PM model. And combined with the translation invariant shear wave transform (SIST) theory to solve the problem of excessive random noise in the image, a series of filters to eliminate these spectral peaks are designed. According to the characteristics of the longitudinal striped interference belonging to the low frequency component, a filter is designed to suppress the low frequency and enhance the high frequency. The filter parameters are optimized to achieve the effect of eliminating this type of interference, and the effect is increased by 7.2%.